Pandas Profiling Report

Dataset statistics

Number of variables	39
Number of observations	430
Missing cells	4199
Missing cells (%)	25.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	131.1 KiB
Average record size in memory	312.3 B

Variable types

Numeric	11
Categorical	10
Boolean	18

Alerts

`Age` is highly correlated with `BMI` and 2 other fields	High correlation
`BMI` is highly correlated with `Age` and 2 other fields	High correlation
`Height` is highly correlated with `Age` and 2 other fields	High correlation
`Weight` is highly correlated with `Age` and 2 other fields	High correlation
`AlvaradoScore` is highly correlated with `PediatricAppendicitisScore` and 2 other fields	High correlation
`PediatricAppendicitisScore` is highly correlated with `AlvaradoScore` and 1 other fields	High correlation
`BodyTemp` is highly correlated with `CRPEntry`	High correlation
`WBCCount` is highly correlated with `AlvaradoScore` and 1 other fields	High correlation
`NeutrophilPerc` is highly correlated with `AlvaradoScore` and 2 other fields	High correlation
`CRPEntry` is highly correlated with `BodyTemp`	High correlation
`Age` is highly correlated with `Height` and 1 other fields	High correlation
`BMI` is highly correlated with `Weight`	High correlation
`Height` is highly correlated with `Age` and 1 other fields	High correlation
`Weight` is highly correlated with `Age` and 2 other fields	High correlation
`AlvaradoScore` is highly correlated with `PediatricAppendicitisScore` and 2 other fields	High correlation
`PediatricAppendicitisScore` is highly correlated with `AlvaradoScore` and 1 other fields	High correlation
`WBCCount` is highly correlated with `AlvaradoScore` and 1 other fields	High correlation
`NeutrophilPerc` is highly correlated with `AlvaradoScore` and 2 other fields	High correlation
`Age` is highly correlated with `Height` and 1 other fields	High correlation
`BMI` is highly correlated with `Weight`	High correlation
`Height` is highly correlated with `Age` and 1 other fields	High correlation
`Weight` is highly correlated with `Age` and 2 other fields	High correlation
`AlvaradoScore` is highly correlated with `PediatricAppendicitisScore` and 2 other fields	High correlation
`PediatricAppendicitisScore` is highly correlated with `AlvaradoScore`	High correlation
`WBCCount` is highly correlated with `AlvaradoScore`	High correlation
`NeutrophilPerc` is highly correlated with `AlvaradoScore`	High correlation
`Enteritis` is highly correlated with `PathLymphNodes`	High correlation
`MesentricLymphadenitis` is highly correlated with `PathLymphNodes`	High correlation
`SurroundingTissueReaction` is highly correlated with `DiagnosisByCriteria`	High correlation
`PathLymphNodes` is highly correlated with `Enteritis` and 1 other fields	High correlation
`AppendixWallLayers` is highly correlated with `TissuePerfusion` and 1 other fields	High correlation
`TissuePerfusion` is highly correlated with `AppendixWallLayers` and 3 other fields	High correlation
`AppendixOnSono` is highly correlated with `AppendixWallLayers` and 2 other fields	High correlation
`Peritonitis` is highly correlated with `Ileus` and 1 other fields	High correlation
`Ileus` is highly correlated with `Peritonitis`	High correlation
`DiagnosisByCriteria` is highly correlated with `SurroundingTissueReaction` and 3 other fields	High correlation
`Kokarde` is highly correlated with `TissuePerfusion` and 1 other fields	High correlation
`LowerAbdominalPainRight` is highly correlated with `TissuePerfusion`	High correlation
`Age` is highly correlated with `BMI` and 3 other fields	High correlation
`BMI` is highly correlated with `Age` and 1 other fields	High correlation
`Height` is highly correlated with `Age` and 1 other fields	High correlation
`Weight` is highly correlated with `Age` and 2 other fields	High correlation
`AlvaradoScore` is highly correlated with `PediatricAppendicitisScore` and 2 other fields	High correlation
`PediatricAppendicitisScore` is highly correlated with `AlvaradoScore` and 7 other fields	High correlation
`AppendixOnSono` is highly correlated with `AppendixDiameter` and 4 other fields	High correlation
`AppendixDiameter` is highly correlated with `AppendixOnSono` and 3 other fields	High correlation
`MigratoryPain` is highly correlated with `PediatricAppendicitisScore`	High correlation
`LowerAbdominalPainRight` is highly correlated with `PediatricAppendicitisScore`	High correlation
`CoughingPain` is highly correlated with `PediatricAppendicitisScore`	High correlation
`Nausea` is highly correlated with `PediatricAppendicitisScore`	High correlation
`AppetiteLoss` is highly correlated with `PediatricAppendicitisScore`	High correlation
`WBCCount` is highly correlated with `NeutrophilPerc` and 3 other fields	High correlation
`NeutrophilPerc` is highly correlated with `AlvaradoScore` and 4 other fields	High correlation
`KetonesInUrine` is highly correlated with `BowelWallThick`	High correlation
`ErythrocytesInUrine` is highly correlated with `Ileus`	High correlation
`CRPEntry` is highly correlated with `WBCCount` and 2 other fields	High correlation
`Peritonitis` is highly correlated with `AlvaradoScore` and 3 other fields	High correlation
`AppendixWallLayers` is highly correlated with `PathLymphNodes`	High correlation
`Kokarde` is highly correlated with `AppendixOnSono` and 2 other fields	High correlation
`TissuePerfusion` is highly correlated with `Age` and 3 other fields	High correlation
`SurroundingTissueReaction` is highly correlated with `AppendixOnSono` and 4 other fields	High correlation
`PathLymphNodes` is highly correlated with `AppendixWallLayers` and 2 other fields	High correlation
`MesentricLymphadenitis` is highly correlated with `PathLymphNodes` and 1 other fields	High correlation
`BowelWallThick` is highly correlated with `KetonesInUrine` and 1 other fields	High correlation
`Ileus` is highly correlated with `AppendixDiameter` and 3 other fields	High correlation
`FecalImpaction` is highly correlated with `Meteorism`	High correlation
`Meteorism` is highly correlated with `FecalImpaction`	High correlation
`Enteritis` is highly correlated with `AppendixOnSono` and 2 other fields	High correlation
`DiagnosisByCriteria` is highly correlated with `AppendixOnSono` and 6 other fields	High correlation
`AppendixDiameter` has 164 (38.1%) missing values	Missing
`PsoasSign` has 37 (8.6%) missing values	Missing
`NeutrophilPerc` has 45 (10.5%) missing values	Missing
`KetonesInUrine` has 123 (28.6%) missing values	Missing
`ErythrocytesInUrine` has 123 (28.6%) missing values	Missing
`WBCInUrine` has 123 (28.6%) missing values	Missing
`CRPEntry` has 6 (1.4%) missing values	Missing
`Dysuria` has 19 (4.4%) missing values	Missing
`Stool` has 6 (1.4%) missing values	Missing
`FreeFluids` has 17 (4.0%) missing values	Missing
`AppendixWallLayers` has 288 (67.0%) missing values	Missing
`Kokarde` has 280 (65.1%) missing values	Missing
`TissuePerfusion` has 375 (87.2%) missing values	Missing
`SurroundingTissueReaction` has 250 (58.1%) missing values	Missing
`PathLymphNodes` has 265 (61.6%) missing values	Missing
`MesentricLymphadenitis` has 292 (67.9%) missing values	Missing
`BowelWallThick` has 342 (79.5%) missing values	Missing
`Ileus` has 361 (84.0%) missing values	Missing
`FecalImpaction` has 356 (82.8%) missing values	Missing
`Meteorism` has 323 (75.1%) missing values	Missing
`Enteritis` has 389 (90.5%) missing values	Missing
`CRPEntry` has 93 (21.6%) zeros	Zeros

Reproduction

Analysis started	2022-10-05 13:10:55.208625
Analysis finished	2022-10-05 13:12:00.366407
Duration	1 minute and 5.16 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	407
Distinct (%)	95.1%
Missing	2
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	11.36898297

Minimum	0.03559206023
Maximum	17.87268994
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	0.03559206023
5-th percentile	5.11156742
Q1	9.338809035
median	11.52908966
Q3	13.92402464
95-th percentile	16.76728268
Maximum	17.87268994
Range	17.83709788
Interquartile range (IQR)	4.585215606

Descriptive statistics

Standard deviation	3.421575431
Coefficient of variation (CV)	0.3009570373
Kurtosis	0.181485357
Mean	11.36898297
Median Absolute Deviation (MAD)	2.291581109
Skewness	-0.5335179803
Sum	4865.924709
Variance	11.70717843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.19849418	3	0.7%
14.62286105	2	0.5%
11.47980835	2	0.5%
15.21423682	2	0.5%
7.211498973	2	0.5%
15.32375086	2	0.5%
15.81382615	2	0.5%
12.50924025	2	0.5%
9.237508556	2	0.5%
16.78302533	2	0.5%
Other values (397)	407	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.03559206023	1	0.2%
0.08213552361	1	0.2%
0.5338809035	1	0.2%
1.727583847	1	0.2%
2.132785763	1	0.2%
2.633812457	1	0.2%
3.192334018	1	0.2%
3.326488706	1	0.2%
3.367556468	1	0.2%
3.567419576	1	0.2%

Value	Count	Frequency (%)
17.87268994	1	0.2%
17.70841889	1	0.2%
17.52224504	1	0.2%
17.48939083	1	0.2%
17.45653662	1	0.2%
17.44558522	1	0.2%
17.37166324	1	0.2%
17.28405202	1	0.2%
17.2073922	1	0.2%
17.19917864	1	0.2%

BMI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	421
Distinct (%)	97.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.97640589

Minimum	7.82798256
Maximum	38.15622122
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	7.82798256
5-th percentile	13.70729024
Q1	15.84538933
median	18.14369129
Q3	21.24462363
95-th percentile	27.92962365
Maximum	38.15622122
Range	30.32823866
Interquartile range (IQR)	5.399234304

Descriptive statistics

Standard deviation	4.29595518
Coefficient of variation (CV)	0.2263840269
Kurtosis	1.444758372
Mean	18.97640589
Median Absolute Deviation (MAD)	2.63987775
Skewness	1.033857438
Sum	8159.854532
Variance	18.45523091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.3787005	2	0.5%
17.92821543	2	0.5%
16.88522433	2	0.5%
17.60477285	2	0.5%
20.77562327	2	0.5%
15.43209877	2	0.5%
15.06574142	2	0.5%
16.83673469	2	0.5%
15.9912469	2	0.5%
16.8580357	1	0.2%
Other values (411)	411	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7.82798256	1	0.2%
11.34215501	1	0.2%
11.89767995	1	0.2%
12.15277778	1	0.2%
12.19118649	1	0.2%
12.51016451	1	0.2%
12.55	1	0.2%
12.59522161	1	0.2%
12.59970533	1	0.2%
12.80908888	1	0.2%

Value	Count	Frequency (%)
38.15622122	1	0.2%
35.3798127	1	0.2%
32.37311385	1	0.2%
32.18364381	1	0.2%
31.84183143	1	0.2%
30.86300683	1	0.2%
30.7266436	1	0.2%
30.62925093	1	0.2%
30.4350907	1	0.2%
29.9377471	1	0.2%

Sex
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

male	231
female	199

Length

Max length	6
Median length	4
Mean length	4.925581395
Min length	4

Characters and Unicode

Total characters	2118
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	male
4th row	male
5th row	female

Common Values

Value	Count	Frequency (%)
male	231	53.7%
female	199	46.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	231	53.7%
female	199	46.3%

Most occurring characters

Value	Count	Frequency (%)
e	629	29.7%
m	430	20.3%
a	430	20.3%
l	430	20.3%
f	199	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2118	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	629	29.7%
m	430	20.3%
a	430	20.3%
l	430	20.3%
f	199	9.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2118	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	629	29.7%
m	430	20.3%
a	430	20.3%
l	430	20.3%
f	199	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2118	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	629	29.7%
m	430	20.3%
a	430	20.3%
l	430	20.3%
f	199	9.4%

Height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	162
Distinct (%)	37.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	148.4209302

Minimum	47.5
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	47.5
5-th percentile	113.45
Q1	138
median	150.5
Q3	162.875
95-th percentile	175
Maximum	190
Range	142.5
Interquartile range (IQR)	24.875

Descriptive statistics

Standard deviation	19.95652569
Coefficient of variation (CV)	0.1344589719
Kurtosis	2.321375344
Mean	148.4209302
Median Absolute Deviation (MAD)	12.5
Skewness	-1.023418679
Sum	63821
Variance	398.2629175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
164	10	2.3%
158	10	2.3%
152	9	2.1%
146	9	2.1%
141	8	1.9%
162	8	1.9%
166	8	1.9%
150	7	1.6%
165	7	1.6%
136	7	1.6%
Other values (152)	347	80.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
47.5	1	0.2%
53	1	0.2%
83.5	1	0.2%
90	1	0.2%
94	1	0.2%
94.6	1	0.2%
95	1	0.2%
96.3	1	0.2%
103	1	0.2%
104	1	0.2%

Value	Count	Frequency (%)
190	1	0.2%
185	1	0.2%
184	1	0.2%
183	1	0.2%
182.5	1	0.2%
182	1	0.2%
181.5	1	0.2%
181	4	0.9%
180	2	0.5%
179.4	1	0.2%

Weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	208
Distinct (%)	48.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.63217442

Minimum	3.275
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	3.275
5-th percentile	18
Q1	31.125
median	42
Q3	55
95-th percentile	74.165
Maximum	98
Range	94.725
Interquartile range (IQR)	23.875

Descriptive statistics

Standard deviation	17.03825773
Coefficient of variation (CV)	0.3904975618
Kurtosis	-0.2278281279
Mean	43.63217442
Median Absolute Deviation (MAD)	12
Skewness	0.3666633403
Sum	18761.835
Variance	290.3022263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	12	2.8%
33	10	2.3%
55	9	2.1%
53	7	1.6%
37	7	1.6%
56	7	1.6%
39	7	1.6%
47	6	1.4%
36	6	1.4%
34	6	1.4%
Other values (198)	353	82.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.275	1	0.2%
3.96	1	0.2%
12	1	0.2%
12.5	3	0.7%
12.7	1	0.2%
14.2	1	0.2%
15	2	0.5%
15.5	1	0.2%
15.8	1	0.2%
16	3	0.7%

Value	Count	Frequency (%)
98	1	0.2%
94.1	1	0.2%
88.8	1	0.2%
87	1	0.2%
85.9	1	0.2%
85	2	0.5%
83	1	0.2%
80	1	0.2%
78	3	0.7%
77.7	1	0.2%

AlvaradoScore
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.723255814

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	4
median	6
Q3	7
95-th percentile	9
Maximum	10
Range	8
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.142949323
Coefficient of variation (CV)	0.374428366
Kurtosis	-0.8544752845
Mean	5.723255814
Median Absolute Deviation (MAD)	2
Skewness	-0.003872326201
Sum	2461
Variance	4.592231799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
6	70	16.3%
7	66	15.3%
5	65	15.1%
4	57	13.3%
8	48	11.2%
3	39	9.1%
9	37	8.6%
2	36	8.4%
10	12	2.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	36	8.4%
3	39	9.1%
4	57	13.3%
5	65	15.1%
6	70	16.3%
7	66	15.3%
8	48	11.2%
9	37	8.6%
10	12	2.8%

Value	Count	Frequency (%)
10	12	2.8%
9	37	8.6%
8	48	11.2%
7	66	15.3%
6	70	16.3%
5	65	15.1%
4	57	13.3%
3	39	9.1%
2	36	8.4%

PediatricAppendicitisScore
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.953488372

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	5
Q3	6
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.986592453
Coefficient of variation (CV)	0.4010491807
Kurtosis	-0.1516692434
Mean	4.953488372
Median Absolute Deviation (MAD)	1
Skewness	0.4857780155
Sum	2130
Variance	3.946549574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	91	21.2%
5	79	18.4%
6	77	17.9%
3	54	12.6%
2	45	10.5%
7	33	7.7%
8	19	4.4%
9	19	4.4%
10	10	2.3%
1	3	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.7%
2	45	10.5%
3	54	12.6%
4	91	21.2%
5	79	18.4%
6	77	17.9%
7	33	7.7%
8	19	4.4%
9	19	4.4%
10	10	2.3%

Value	Count	Frequency (%)
10	10	2.3%
9	19	4.4%
8	19	4.4%
7	33	7.7%
6	77	17.9%
5	79	18.4%
4	91	21.2%
3	54	12.6%
2	45	10.5%
1	3	0.7%

AppendixOnSono
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	2
Missing (%)	0.5%
Memory size	988.0 B

True	276
False	152
(Missing)	2

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	276	64.2%
False	152	35.3%
(Missing)	2	0.5%

AppendixDiameter
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	60
Distinct (%)	22.6%
Missing	164
Missing (%)	38.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.713157895

Minimum	2.7
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	2.7
5-th percentile	4
Q1	6
median	7.3
Q3	9.1
95-th percentile	12
Maximum	17
Range	14.3
Interquartile range (IQR)	3.1

Descriptive statistics

Standard deviation	2.574918169
Coefficient of variation (CV)	0.3338344947
Kurtosis	0.06181936606
Mean	7.713157895
Median Absolute Deviation (MAD)	1.7
Skewness	0.5508988765
Sum	2051.7
Variance	6.630203575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	24	5.6%
7	24	5.6%
8	24	5.6%
6	23	5.3%
9	18	4.2%
5	17	4.0%
11	15	3.5%
12	12	2.8%
4	11	2.6%
6.5	7	1.6%
Other values (50)	91	21.2%
(Missing)	164	38.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.7	1	0.2%
2.9	1	0.2%
3	1	0.2%
3.5	1	0.2%
3.7	2	0.5%
3.8	1	0.2%
4	11	2.6%
4.2	1	0.2%
4.3	2	0.5%
4.4	1	0.2%

Value	Count	Frequency (%)
17	1	0.2%
15	2	0.5%
14	2	0.5%
13.2	1	0.2%
13	4	0.9%
12	12	2.8%
11.8	1	0.2%
11	15	3.5%
10.9	1	0.2%
10.7	1	0.2%

MigratoryPain
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	558.0 B

False	320
True	110

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	320	74.4%
True	110	25.6%

LowerAbdominalPainRight
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	988.0 B

True	416
False	13
(Missing)	1

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	416	96.7%
False	13	3.0%
(Missing)	1	0.2%

ReboundTenderness
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	3
Missing (%)	0.7%
Memory size	988.0 B

False	280
True	147
(Missing)	3

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	280	65.1%
True	147	34.2%
(Missing)	3	0.7%

CoughingPain
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	988.0 B

False	313
True	116
(Missing)	1

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	313	72.8%
True	116	27.0%
(Missing)	1	0.2%

PsoasSign
Categorical

MISSING

Distinct	2
Distinct (%)	0.5%
Missing	37
Missing (%)	8.6%
Memory size	3.5 KiB

negative	273
positive	120

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	3144
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	negative
2nd row	negative
3rd row	negative
4th row	positive
5th row	negative

Common Values

Value	Count	Frequency (%)
negative	273	63.5%
positive	120	27.9%
(Missing)	37	8.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
negative	273	69.5%
positive	120	30.5%

Most occurring characters

Value	Count	Frequency (%)
e	666	21.2%
i	513	16.3%
t	393	12.5%
v	393	12.5%
n	273	8.7%
g	273	8.7%
a	273	8.7%
p	120	3.8%
o	120	3.8%
s	120	3.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3144	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	666	21.2%
i	513	16.3%
t	393	12.5%
v	393	12.5%
n	273	8.7%
g	273	8.7%
a	273	8.7%
p	120	3.8%
o	120	3.8%
s	120	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3144	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	666	21.2%
i	513	16.3%
t	393	12.5%
v	393	12.5%
n	273	8.7%
g	273	8.7%
a	273	8.7%
p	120	3.8%
o	120	3.8%
s	120	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3144	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	666	21.2%
i	513	16.3%
t	393	12.5%
v	393	12.5%
n	273	8.7%
g	273	8.7%
a	273	8.7%
p	120	3.8%
o	120	3.8%
s	120	3.8%

Nausea
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	558.0 B

True	242
False	188

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	242	56.3%
False	188	43.7%

AppetiteLoss
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	988.0 B

False	304
True	125
(Missing)	1

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	304	70.7%
True	125	29.1%
(Missing)	1	0.2%

BodyTemp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	43
Distinct (%)	10.0%
Missing	1
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	37.58969697

Minimum	26.9
Maximum	40.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	26.9
5-th percentile	36.5
Q1	37
median	37.4
Q3	38.2
95-th percentile	39.2
Maximum	40.2
Range	13.3
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	0.9907314165
Coefficient of variation (CV)	0.02635646191
Kurtosis	30.68695987
Mean	37.58969697
Median Absolute Deviation (MAD)	0.6
Skewness	-2.50148828
Sum	16125.98
Variance	0.9815487397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
36.8	51	11.9%
37	47	10.9%
37.2	45	10.5%
37.8	33	7.7%
38.2	24	5.6%
37.5	22	5.1%
38	16	3.7%
37.4	15	3.5%
38.4	13	3.0%
39	13	3.0%
Other values (33)	150	34.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26.9	1	0.2%
36	5	1.2%
36.2	8	1.9%
36.3	1	0.2%
36.4	6	1.4%
36.5	7	1.6%
36.6	8	1.9%
36.7	1	0.2%
36.8	51	11.9%
36.9	4	0.9%

Value	Count	Frequency (%)
40.2	1	0.2%
40	2	0.5%
39.9	1	0.2%
39.8	4	0.9%
39.7	1	0.2%
39.6	1	0.2%
39.5	4	0.9%
39.4	3	0.7%
39.3	2	0.5%
39.2	4	0.9%

WBCCount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	173
Distinct (%)	40.6%
Missing	4
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	12.42934272

Minimum	2.6
Maximum	33.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	2.6
5-th percentile	5.7
Q1	8.4
median	11.85
Q3	15.8
95-th percentile	21.85
Maximum	33.6
Range	31
Interquartile range (IQR)	7.4

Descriptive statistics

Standard deviation	5.279407992
Coefficient of variation (CV)	0.4247535939
Kurtosis	0.9621865857
Mean	12.42934272
Median Absolute Deviation (MAD)	3.7
Skewness	0.8698216707
Sum	5294.9
Variance	27.87214874
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	8	1.9%
12.4	7	1.6%
8.7	7	1.6%
10.9	6	1.4%
15	6	1.4%
8.6	6	1.4%
7.5	6	1.4%
8.9	6	1.4%
18.7	6	1.4%
13.1	6	1.4%
Other values (163)	362	84.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.6	1	0.2%
3.5	2	0.5%
4	1	0.2%
4.1	1	0.2%
4.2	1	0.2%
4.3	1	0.2%
4.4	1	0.2%
4.5	1	0.2%
4.6	1	0.2%
4.7	1	0.2%

Value	Count	Frequency (%)
33.6	1	0.2%
33.3	1	0.2%
30.5	1	0.2%
29.9	1	0.2%
28.2	1	0.2%
27.5	1	0.2%
27.3	1	0.2%
25.7	1	0.2%
25.2	1	0.2%
25	1	0.2%

NeutrophilPerc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	258
Distinct (%)	67.0%
Missing	45
Missing (%)	10.5%
Infinite	0
Infinite (%)	0.0%
Mean	70.87350649

Minimum	27.2
Maximum	94.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	27.2
5-th percentile	43.62
Q1	59.1
median	74.9
Q3	82.9
95-th percentile	88.48
Maximum	94.1
Range	66.9
Interquartile range (IQR)	23.8

Descriptive statistics

Standard deviation	14.23848491
Coefficient of variation (CV)	0.2008999641
Kurtosis	-0.6500872413
Mean	70.87350649
Median Absolute Deviation (MAD)	9.5
Skewness	-0.6084973287
Sum	27286.3
Variance	202.7344525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
84	6	1.4%
84.5	5	1.2%
79	5	1.2%
74.9	4	0.9%
85.5	4	0.9%
81	4	0.9%
66	3	0.7%
68.4	3	0.7%
43.5	3	0.7%
80	3	0.7%
Other values (248)	345	80.2%
(Missing)	45	10.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27.2	1	0.2%
35.1	1	0.2%
36.1	1	0.2%
38.7	1	0.2%
39.5	1	0.2%
40	1	0.2%
40.6	1	0.2%
41.1	1	0.2%
41.2	2	0.5%
41.6	1	0.2%

Value	Count	Frequency (%)
94.1	1	0.2%
93.2	1	0.2%
92.4	1	0.2%
92.1	1	0.2%
91.9	1	0.2%
91.8	1	0.2%
91.6	1	0.2%
91.1	1	0.2%
90.6	1	0.2%
90.5	1	0.2%

KetonesInUrine
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.3%
Missing	123
Missing (%)	28.6%
Memory size	3.5 KiB

no	189
+++	64
+	36
++	18

Length

Max length	3
Median length	2
Mean length	2.091205212
Min length	1

Characters and Unicode

Total characters	642
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	+
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	189	44.0%
+++	64	14.9%
+	36	8.4%
++	18	4.2%
(Missing)	123	28.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	189	61.6%
	118	38.4%

Most occurring characters

Value	Count	Frequency (%)
+	264	41.1%
n	189	29.4%
o	189	29.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	378	58.9%
Math Symbol	264	41.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	189	50.0%
o	189	50.0%

Math Symbol

Value	Count	Frequency (%)
+	264	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	378	58.9%
Common	264	41.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	189	50.0%
o	189	50.0%

Common

Value	Count	Frequency (%)
+	264	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	642	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
+	264	41.1%
n	189	29.4%
o	189	29.4%

ErythrocytesInUrine
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	1.3%
Missing	123
Missing (%)	28.6%
Memory size	3.5 KiB

no	239
+	40
+++	18
++	10

Length

Max length	3
Median length	2
Mean length	1.928338762
Min length	1

Characters and Unicode

Total characters	592
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	+
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	239	55.6%
+	40	9.3%
+++	18	4.2%
++	10	2.3%
(Missing)	123	28.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	239	77.9%
	68	22.1%

Most occurring characters

Value	Count	Frequency (%)
n	239	40.4%
o	239	40.4%
+	114	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	478	80.7%
Math Symbol	114	19.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	239	50.0%
o	239	50.0%

Math Symbol

Value	Count	Frequency (%)
+	114	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	478	80.7%
Common	114	19.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	239	50.0%
o	239	50.0%

Common

Value	Count	Frequency (%)
+	114	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	239	40.4%
o	239	40.4%
+	114	19.3%

WBCInUrine
Categorical

MISSING

Distinct	4
Distinct (%)	1.3%
Missing	123
Missing (%)	28.6%
Memory size	3.5 KiB

no	269
+	23
++	8
+++	7

Length

Max length	3
Median length	2
Mean length	1.947882736
Min length	1

Characters and Unicode

Total characters	598
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	269	62.6%
+	23	5.3%
++	8	1.9%
+++	7	1.6%
(Missing)	123	28.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	269	87.6%
	38	12.4%

Most occurring characters

Value	Count	Frequency (%)
n	269	45.0%
o	269	45.0%
+	60	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	538	90.0%
Math Symbol	60	10.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	269	50.0%
o	269	50.0%

Math Symbol

Value	Count	Frequency (%)
+	60	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	538	90.0%
Common	60	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	269	50.0%
o	269	50.0%

Common

Value	Count	Frequency (%)
+	60	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	598	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	269	45.0%
o	269	45.0%
+	60	10.0%

CRPEntry
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	106
Distinct (%)	25.0%
Missing	6
Missing (%)	1.4%
Infinite	0
Infinite (%)	0.0%
Mean	30.6884434

Minimum	0
Maximum	365
Zeros	93
Zeros (%)	21.6%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	7
Q3	31.25
95-th percentile	151.55
Maximum	365
Range	365
Interquartile range (IQR)	30.25

Descriptive statistics

Standard deviation	56.65226461
Coefficient of variation (CV)	1.846045558
Kurtosis	10.6533497
Mean	30.6884434
Median Absolute Deviation (MAD)	7
Skewness	3.056308507
Sum	13011.9
Variance	3209.479086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	93	21.6%
1	43	10.0%
2	18	4.2%
6	14	3.3%
4	12	2.8%
3	12	2.8%
5	11	2.6%
13	11	2.6%
7	10	2.3%
8	9	2.1%
Other values (96)	191	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	93	21.6%
1	43	10.0%
2	18	4.2%
3	12	2.8%
4	12	2.8%
5	11	2.6%
6	14	3.3%
6.9	1	0.2%
7	10	2.3%
8	9	2.1%

Value	Count	Frequency (%)
365	1	0.2%
355	1	0.2%
339	1	0.2%
293	1	0.2%
278	1	0.2%
245	1	0.2%
236	1	0.2%
235	1	0.2%
234	1	0.2%
210	1	0.2%

Dysuria
Boolean

MISSING

Distinct	2
Distinct (%)	0.5%
Missing	19
Missing (%)	4.4%
Memory size	988.0 B

False	389
True	22
(Missing)	19

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	389	90.5%
True	22	5.1%
(Missing)	19	4.4%

Stool
Categorical

MISSING

Distinct	3
Distinct (%)	0.7%
Missing	6
Missing (%)	1.4%
Memory size	3.5 KiB

normal	306
diarrhea	67
obstipation	51

Length

Max length	11
Median length	6
Mean length	6.91745283
Min length	6

Characters and Unicode

Total characters	2933
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	normal
5th row	obstipation

Common Values

Value	Count	Frequency (%)
normal	306	71.2%
diarrhea	67	15.6%
obstipation	51	11.9%
(Missing)	6	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	306	72.2%
diarrhea	67	15.8%
obstipation	51	12.0%

Most occurring characters

Value	Count	Frequency (%)
a	491	16.7%
r	440	15.0%
o	408	13.9%
n	357	12.2%
m	306	10.4%
l	306	10.4%
i	169	5.8%
t	102	3.5%
d	67	2.3%
h	67	2.3%
Other values (4)	220	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2933	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	491	16.7%
r	440	15.0%
o	408	13.9%
n	357	12.2%
m	306	10.4%
l	306	10.4%
i	169	5.8%
t	102	3.5%
d	67	2.3%
h	67	2.3%
Other values (4)	220	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2933	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	491	16.7%
r	440	15.0%
o	408	13.9%
n	357	12.2%
m	306	10.4%
l	306	10.4%
i	169	5.8%
t	102	3.5%
d	67	2.3%
h	67	2.3%
Other values (4)	220	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2933	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	491	16.7%
r	440	15.0%
o	408	13.9%
n	357	12.2%
m	306	10.4%
l	306	10.4%
i	169	5.8%
t	102	3.5%
d	67	2.3%
h	67	2.3%
Other values (4)	220	7.5%

Peritonitis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

no	265
local	150
generalised	15

Length

Max length	11
Median length	2
Mean length	3.360465116
Min length	2

Characters and Unicode

Total characters	1445
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	local
5th row	no

Common Values

Value	Count	Frequency (%)
no	265	61.6%
local	150	34.9%
generalised	15	3.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	265	61.6%
local	150	34.9%
generalised	15	3.5%

Most occurring characters

Value	Count	Frequency (%)
o	415	28.7%
l	315	21.8%
n	280	19.4%
a	165	11.4%
c	150	10.4%
e	45	3.1%
g	15	1.0%
r	15	1.0%
i	15	1.0%
s	15	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1445	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	415	28.7%
l	315	21.8%
n	280	19.4%
a	165	11.4%
c	150	10.4%
e	45	3.1%
g	15	1.0%
r	15	1.0%
i	15	1.0%
s	15	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1445	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	415	28.7%
l	315	21.8%
n	280	19.4%
a	165	11.4%
c	150	10.4%
e	45	3.1%
g	15	1.0%
r	15	1.0%
i	15	1.0%
s	15	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1445	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	415	28.7%
l	315	21.8%
n	280	19.4%
a	165	11.4%
c	150	10.4%
e	45	3.1%
g	15	1.0%
r	15	1.0%
i	15	1.0%
s	15	1.0%

FreeFluids
Boolean

MISSING

Distinct	2
Distinct (%)	0.5%
Missing	17
Missing (%)	4.0%
Memory size	988.0 B

False	233
True	180
(Missing)	17

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	233	54.2%
True	180	41.9%
(Missing)	17	4.0%

AppendixWallLayers
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.4%
Missing	288
Missing (%)	67.0%
Memory size	3.5 KiB

intakt	91
aufgehoben	51

Length

Max length	10
Median length	6
Mean length	7.436619718
Min length	6

Characters and Unicode

Total characters	1056
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	aufgehoben
2nd row	aufgehoben
3rd row	intakt
4th row	intakt
5th row	aufgehoben

Common Values

Value	Count	Frequency (%)
intakt	91	21.2%
aufgehoben	51	11.9%
(Missing)	288	67.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
intakt	91	64.1%
aufgehoben	51	35.9%

Most occurring characters

Value	Count	Frequency (%)
t	182	17.2%
n	142	13.4%
a	142	13.4%
e	102	9.7%
i	91	8.6%
k	91	8.6%
u	51	4.8%
f	51	4.8%
g	51	4.8%
h	51	4.8%
Other values (2)	102	9.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1056	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	182	17.2%
n	142	13.4%
a	142	13.4%
e	102	9.7%
i	91	8.6%
k	91	8.6%
u	51	4.8%
f	51	4.8%
g	51	4.8%
h	51	4.8%
Other values (2)	102	9.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1056	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	182	17.2%
n	142	13.4%
a	142	13.4%
e	102	9.7%
i	91	8.6%
k	91	8.6%
u	51	4.8%
f	51	4.8%
g	51	4.8%
h	51	4.8%
Other values (2)	102	9.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1056	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	182	17.2%
n	142	13.4%
a	142	13.4%
e	102	9.7%
i	91	8.6%
k	91	8.6%
u	51	4.8%
f	51	4.8%
g	51	4.8%
h	51	4.8%
Other values (2)	102	9.7%

Kokarde
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.3%
Missing	280
Missing (%)	65.1%
Memory size	988.0 B

False	81
True	69
(Missing)	280

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	81	18.8%
True	69	16.0%
(Missing)	280	65.1%

TissuePerfusion
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	5.5%
Missing	375
Missing (%)	87.2%
Memory size	3.5 KiB

hyperperfused	20
unremarkable	19
hypoperfused	16

Length

Max length	13
Median length	12
Mean length	12.36363636
Min length	12

Characters and Unicode

Total characters	680
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	hyperperfused
2nd row	unremarkable
3rd row	hypoperfused
4th row	hypoperfused
5th row	unremarkable

Common Values

Value	Count	Frequency (%)
hyperperfused	20	4.7%
unremarkable	19	4.4%
hypoperfused	16	3.7%
(Missing)	375	87.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
hyperperfused	20	36.4%
unremarkable	19	34.5%
hypoperfused	16	29.1%

Most occurring characters

Value	Count	Frequency (%)
e	130	19.1%
r	94	13.8%
p	72	10.6%
u	55	8.1%
a	38	5.6%
h	36	5.3%
y	36	5.3%
f	36	5.3%
s	36	5.3%
d	36	5.3%
Other values (6)	111	16.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	680	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	130	19.1%
r	94	13.8%
p	72	10.6%
u	55	8.1%
a	38	5.6%
h	36	5.3%
y	36	5.3%
f	36	5.3%
s	36	5.3%
d	36	5.3%
Other values (6)	111	16.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	680	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	130	19.1%
r	94	13.8%
p	72	10.6%
u	55	8.1%
a	38	5.6%
h	36	5.3%
y	36	5.3%
f	36	5.3%
s	36	5.3%
d	36	5.3%
Other values (6)	111	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	130	19.1%
r	94	13.8%
p	72	10.6%
u	55	8.1%
a	38	5.6%
h	36	5.3%
y	36	5.3%
f	36	5.3%
s	36	5.3%
d	36	5.3%
Other values (6)	111	16.3%

SurroundingTissueReaction
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.1%
Missing	250
Missing (%)	58.1%
Memory size	988.0 B

True	129
False	51
(Missing)	250

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	129	30.0%
False	51	11.9%
(Missing)	250	58.1%

PathLymphNodes
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.2%
Missing	265
Missing (%)	61.6%
Memory size	988.0 B

True	113
False	52
(Missing)	265

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	113	26.3%
False	52	12.1%
(Missing)	265	61.6%

MesentricLymphadenitis
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.4%
Missing	292
Missing (%)	67.9%
Memory size	988.0 B

True	111
False	27
(Missing)	292

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	111	25.8%
False	27	6.3%
(Missing)	292	67.9%

BowelWallThick
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.3%
Missing	342
Missing (%)	79.5%
Memory size	988.0 B

False	52
True	36
(Missing)	342

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	52	12.1%
True	36	8.4%
(Missing)	342	79.5%

Ileus
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.9%
Missing	361
Missing (%)	84.0%
Memory size	988.0 B

False	59
True	10
(Missing)	361

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	59	13.7%
True	10	2.3%
(Missing)	361	84.0%

FecalImpaction
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.7%
Missing	356
Missing (%)	82.8%
Memory size	988.0 B

False	46
True	28
(Missing)	356

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	46	10.7%
True	28	6.5%
(Missing)	356	82.8%

Meteorism
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	1.9%
Missing	323
Missing (%)	75.1%
Memory size	988.0 B

True	78
False	29
(Missing)	323

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	78	18.1%
False	29	6.7%
(Missing)	323	75.1%

Enteritis
Boolean

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	4.9%
Missing	389
Missing (%)	90.5%
Memory size	988.0 B

False	22
True	19
(Missing)	389

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	22	5.1%
True	19	4.4%
(Missing)	389	90.5%

DiagnosisByCriteria
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

appendicitis	246
noAppendicitis	184

Length

Max length	14
Median length	12
Mean length	12.85581395
Min length	12

Characters and Unicode

Total characters	5528
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	noAppendicitis
2nd row	appendicitis
3rd row	noAppendicitis
4th row	appendicitis
5th row	noAppendicitis

Common Values

Value	Count	Frequency (%)
appendicitis	246	57.2%
noAppendicitis	184	42.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
appendicitis	246	57.2%
noappendicitis	184	42.8%

Most occurring characters

Value	Count	Frequency (%)
i	1290	23.3%
p	860	15.6%
n	614	11.1%
e	430	7.8%
d	430	7.8%
c	430	7.8%
t	430	7.8%
s	430	7.8%
a	246	4.5%
o	184	3.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5344	96.7%
Uppercase Letter	184	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	1290	24.1%
p	860	16.1%
n	614	11.5%
e	430	8.0%
d	430	8.0%
c	430	8.0%
t	430	8.0%
s	430	8.0%
a	246	4.6%
o	184	3.4%

Uppercase Letter

Value	Count	Frequency (%)
A	184	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5528	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	1290	23.3%
p	860	15.6%
n	614	11.1%
e	430	7.8%
d	430	7.8%
c	430	7.8%
t	430	7.8%
s	430	7.8%
a	246	4.5%
o	184	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5528	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	1290	23.3%
p	860	15.6%
n	614	11.1%
e	430	7.8%
d	430	7.8%
c	430	7.8%
t	430	7.8%
s	430	7.8%
a	246	4.5%
o	184	3.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Age	BMI	Sex	Height	Weight	AlvaradoScore	PediatricAppendicitisScore	AppendixOnSono	AppendixDiameter	MigratoryPain	LowerAbdominalPainRight	ReboundTenderness	CoughingPain	PsoasSign	Nausea	AppetiteLoss	BodyTemp	WBCCount	NeutrophilPerc	KetonesInUrine	ErythrocytesInUrine	WBCInUrine	CRPEntry	Dysuria	Stool	Peritonitis	FreeFluids	AppendixWallLayers	Kokarde	TissuePerfusion	SurroundingTissueReaction	PathLymphNodes	MesentricLymphadenitis	BowelWallThick	Ileus	FecalImpaction	Meteorism	Enteritis	DiagnosisByCriteria
0	12.531143	16.494601	male	159.0	41.7	7	5	yes	5.5	no	yes	no	no	negative	yes	no	38.7	13.3	66.0	+	+	no	76.0	no	normal	no	no	aufgehoben	no	hyperperfused	yes	yes	yes	yes	no	yes	no	no	noAppendicitis
1	12.410678	12.595222	female	152.0	29.1	8	8	yes	NaN	no	yes	yes	yes	negative	yes	no	38.8	14.9	93.2	NaN	NaN	NaN	10.0	no	normal	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	appendicitis
2	10.537988	15.991247	male	133.5	28.5	3	3	yes	6.0	no	yes	no	no	negative	no	yes	37.2	6.6	55.3	no	no	no	13.0	NaN	normal	no	no	aufgehoben	yes	NaN	no	no	NaN	no	no	NaN	NaN	no	noAppendicitis
3	10.425736	16.185025	male	146.0	34.5	4	3	yes	6.0	no	yes	no	no	NaN	no	no	37.0	12.4	57.9	no	no	no	6.0	NaN	normal	local	no	NaN	NaN	NaN	no	no	NaN	no	no	no	no	no	appendicitis
4	13.270363	20.449137	female	164.0	55.0	2	2	yes	6.5	no	yes	no	no	positive	no	no	37.2	4.2	50.6	no	no	no	2.0	no	obstipation	no	no	NaN	no	NaN	yes	no	no	no	no	no	yes	no	noAppendicitis
5	7.400411	15.200000	male	123.0	23.0	9	7	yes	7.0	yes	yes	yes	no	negative	no	yes	38.0	15.0	84.5	NaN	NaN	NaN	6.0	NaN	obstipation	no	yes	intakt	NaN	NaN	no	no	no	no	no	no	yes	no	appendicitis
6	13.215606	23.597004	female	171.0	69.0	3	3	yes	6.2	yes	yes	no	no	positive	no	no	36.2	6.7	52.7	no	no	no	3.0	yes	diarrhea	no	no	intakt	no	NaN	no	no	no	NaN	NaN	NaN	NaN	NaN	noAppendicitis
7	13.106092	22.070312	female	160.0	56.5	3	2	no	NaN	no	yes	no	no	positive	no	no	36.5	7.0	53.9	+++	no	+	0.0	no	normal	no	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	appendicitis
8	11.436003	17.941817	male	153.0	42.0	6	6	yes	10.2	yes	yes	NaN	yes	positive	no	no	37.8	13.4	58.6	no	no	no	18.0	yes	diarrhea	no	no	aufgehoben	no	NaN	yes	no	no	no	no	no	yes	NaN	appendicitis
9	15.123888	23.602255	female	160.5	60.8	8	6	yes	7.3	yes	yes	yes	no	NaN	yes	no	38.7	13.0	73.0	no	no	no	19.0	NaN	diarrhea	no	yes	intakt	no	NaN	no	yes	yes	no	no	no	no	no	appendicitis

Last rows

	Age	BMI	Sex	Height	Weight	AlvaradoScore	PediatricAppendicitisScore	AppendixOnSono	AppendixDiameter	MigratoryPain	LowerAbdominalPainRight	ReboundTenderness	CoughingPain	PsoasSign	Nausea	AppetiteLoss	BodyTemp	WBCCount	NeutrophilPerc	KetonesInUrine	ErythrocytesInUrine	WBCInUrine	CRPEntry	Dysuria	Stool	Peritonitis	FreeFluids	AppendixWallLayers	Kokarde	TissuePerfusion	SurroundingTissueReaction	PathLymphNodes	MesentricLymphadenitis	BowelWallThick	Ileus	FecalImpaction	Meteorism	Enteritis	DiagnosisByCriteria
420	6.182067	14.863258	male	116.0	20.0	7	6	no	NaN	no	yes	no	no	negative	yes	no	38.9	17.5	85.5	no	no	no	50.0	no	normal	local	no	NaN	NaN	NaN	NaN	yes	yes	NaN	NaN	NaN	NaN	yes	noAppendicitis
421	10.902122	21.165279	male	145.0	44.5	5	6	no	NaN	yes	yes	yes	yes	positive	yes	no	36.4	9.7	56.2	no	no	no	0.0	no	diarrhea	no	no	NaN	no	NaN	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	noAppendicitis
422	17.199179	22.367347	female	175.0	68.5	7	5	no	NaN	no	yes	no	no	positive	yes	no	37.6	15.9	85.5	no	+++	no	0.0	yes	normal	no	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	yes	NaN	noAppendicitis
423	5.418207	15.704719	male	112.0	19.7	6	5	no	NaN	yes	yes	no	no	negative	no	no	39.0	8.8	80.0	+++	no	no	76.0	no	obstipation	no	yes	NaN	NaN	NaN	NaN	NaN	NaN	yes	NaN	NaN	NaN	NaN	noAppendicitis
424	15.488022	20.581591	female	167.0	57.4	7	5	no	NaN	no	yes	yes	no	positive	no	no	38.0	12.2	85.4	+++	no	no	55.0	no	normal	no	yes	NaN	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	yes	NaN	noAppendicitis
425	12.147844	22.292563	male	166.5	61.8	5	4	no	NaN	no	yes	no	no	negative	no	no	38.4	10.3	NaN	no	no	no	1.0	no	diarrhea	no	no	NaN	no	NaN	no	yes	yes	no	NaN	NaN	NaN	NaN	noAppendicitis
426	12.528405	29.316297	male	152.3	68.0	7	7	no	NaN	yes	yes	yes	yes	positive	no	no	36.8	11.0	82.4	NaN	NaN	NaN	5.0	no	normal	no	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	yes	NaN	NaN	noAppendicitis
427	12.013689	28.906250	male	160.0	74.0	5	6	no	NaN	yes	yes	yes	yes	NaN	yes	no	37.0	7.5	56.3	NaN	NaN	NaN	1.0	no	normal	no	no	NaN	NaN	NaN	no	no	no	NaN	NaN	NaN	yes	NaN	noAppendicitis
428	7.739904	22.038188	female	120.5	32.0	5	3	no	NaN	no	yes	yes	no	negative	no	no	38.8	9.8	54.5	+	+	++	55.0	no	obstipation	no	no	NaN	NaN	NaN	NaN	yes	yes	NaN	no	NaN	yes	yes	noAppendicitis
429	10.157426	21.017920	female	142.2	42.5	9	6	no	NaN	yes	yes	yes	no	negative	yes	no	37.4	15.0	72.5	no	no	no	2.0	NaN	NaN	no	no	NaN	no	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	noAppendicitis

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter